The Research Of Nuclear Leak Monitoring And Prediction Simulation Based On Wireless Sensor Network

With the transition of national energy strategy,the energy strategy of the country gradually changes from the traditional energy to clean energy,the use of nuclear energy has spread to many provinces and cities all over the country,the nuclear energy effectively relieves the crisis of insufficient energy,but the considerable potential safety hazard also exists.Since nuclear energy gets into people's horizons,the accidents of nuclear leak have occurred many times,the latest one is that the nuclear accident was occurred in 2011 at Fukushima Japan due to the earthquake disasters,and serious harm was brought to the local environment and the nearby waters,at the same time the enormous threat was brought to people's life and health and property safety.Therefore,developing a system on monitoring and predicting nuclear leak is very important,so once a nuclear accident occurs,we can timely take some measures in order to reduce the damage accident.According to the work demand of monitoring and predicting nuclear leak around the nuclear power plant,the topic puts forward and realizes a kind of simulation research on monitoring and predicting the nuclear leak based on the wireless sensor network.In this paper,the realization of monitoring nuclear leak take the discrete points collected by wireless sensor network(WSN)as the research object,through comparing and analyzing the advantages and disadvantages of a variety of classic grid interpolation algorithm,so the inverse distance weighted interpolation algorithm based on the rectangular grid is used to obtain the grid data on inerratic distribution.Under the premise of the in-depth analysis of the contour generation principle and drawing process,the grid data on inerratic distribution is used to obtain the contour map meeting the requirements.For the simulation of the predicting nuclear leak,after detailedly introducing the basic principle and the features of genetic algorithm and RBF neural network,an idea which uses an improved genetic algorithm to improve the overallperformance of the RBF neural network is designed in this topic,and the predicting model that takes the influence factors of the nuclear concentration as the input and takes the nuclear concentration as the output is established.The simulation system of monitoring and predicting the nuclear leak based on wireless sensor network is designed and implemented in this paper,through tested by the history of nuclear data,the expected effect can be reached.Finally,research results of this paper can provide the visual nuclear simulation platform for the environmental protection department,and provide theoretical basis for nuclear accident emergency decision.